DOI QR코드

DOI QR Code

Application of Predictive Microbiology for Shelf-life Estimation of Tteokgalbi Containing Dietary Fiber from Rice Bran

예측미생물학을 활용한 미강 식이섬유 함유 떡갈비의 유통기한 설정

  • 허찬 (건국대학교 동물생명과학부) ;
  • 김현욱 (건국대학교 동물생명과학부) ;
  • 최윤상 (건국대학교 동물생명과학부) ;
  • 김천제 (건국대학교 동물생명과학부) ;
  • 백현동 (건국대학교 동물생명과학부)
  • Published : 2008.06.30

Abstract

The objective of this study is to estimate the shelf-life of Tteokgalbi containing dietary fiber extracted from rice bran by using the predictive microbiology. This Tteokgalbi was made with 0%, 1%, 2%, and 3% dietary fiber. The number of total viable cells, anaerobic, psychrotrophic, and heat-stable bacteria and coliforms was calculated during 15 days of storage under $4{\pm}1^{\circ}C$ and the obtained data was applied to Baranyi function. The evaluation of fitness between predicted and observed data showed that these were matched in a satisfactory way. Heat-stable bacteria was detected lower than <1 log CFU/g and coliforms were not detected during the storage. The changes of total viable cells and psychrotrophic bacteria in Tteokgalbi were increased gradually, but dramatically increased after 3 days of storage. The models of total viable cells and anaerobic bacteria showed very similar growth trends and values of growth parameters each other. The estimated shelf-life of each Tteokgalbi was calculated from the predictive model of total viable cells and the estimated shelf-life was 1.7, 2.3, 2.3, and 2.4 days, respectively. The results suggested that the prediction of bacteria growth could be used to evaluate the microbiological safety and determine the shelf-life of Tteokgalbi as ready-to-eat food in the local market.

본 연구는 미강 추출 식이섬유 혼합물을 첨가한 떡갈비의 미생물학적 안전성 확보와 유통기한 산출을 위하여 예측미생물학을 이용하였다. 이를 위해 미강 추출 식이섬유 혼합물을 0, 1, 2, 3%의 비율로 첨가하였으며 냉장($4{\pm}1^{\circ}C$) 조건에서 15일간 저장하며 일반세균수, 혐기성균, 저온균, 내열성균, 대장균군의 미생물학적 변화를 관찰하였다. 일반세균수의 초기 균수(저장 0일)의 경우 3.23-3.85 log CFU/g을 나타내었으며 혐기성균, 저온균의 경우 비슷한 초기균수를 나타내었다. 일반세균수와 혐기성균의 경우 저장 3-5일차에서 균수의 급격한 증가를 나타내었다. 저장기간 동안 측정된 균수를 Baranyi function을 바탕으로 성장예측곡선과 생육 지표를 예측하였으며, 성장예측곡선의 적합성을 검증한 결과 일반세균수, 혐기성균, 저온균의 경우 처리구간 모두 0.923 이상의 높은 $R^2$값을 나타내었으며 $B_f$, $A_f$의 경우 역시 이상적인 값인 1에 가까운 값은 나타내었다. RSME 값 역시 모두 0.65 이하를 나타내어 실측치와 예측치 간의 높은 정확성을 나타내었다. Baranyi function 식 (1), (2)을 이용하여 계산된 균수가 5 log CFU/g이 되는 시점인 predicted shelf-life의 경우 control, T1, T2, T3의 경우 각각 2.5, 3.5, 3.5, 3.6일로 예측되었으며 안전계수(1/1.5)를 고려한 estimated shelf-life의 경우 1.7, 2.3, 2.3, 2.4일로 측정되었다 미강 식이섬유 혼합물이 첨가된 처리구가 control보다 약 0.6-0.7일 긴 유통기한을 가지는 것으로 측정되었고 식이섬유가 3% 함유된 떡갈비가 2.4일로 가장 긴 유통기한을 갖는 것으로 나타났다. 본 연구를 통해, 미강 추출 식이섬유 혼합물이 첨가된 떡갈비의 유통기한을 예측미생물학을 적용하여 측정할 수 있었으며, 식품산업에 있어서 이러한 예측미생물학은 식품의 제조 가공 판매 등을 결정할 때 미생물의 정량적 위험성을 판단하는 도구로서 사용될 수 있을 것으로 기대된다.

Keywords

References

  1. Amit, P., Theodore P. L., and Francisco D. G. (2008) Comparison of primary predictive models to study the growth of Listeria monocytogenes at low temperatures in liquid cultures and selection of fastest growing ribotypes in meat and turkey product slurries. Food Microbiol. 25, 460-470 https://doi.org/10.1016/j.fm.2008.01.009
  2. Baranyi, J., Pin, C., and Ross, T. (1999) Validating and comparing predictive models. Int. J. Food Microbiol. 48, 159-166 https://doi.org/10.1016/S0168-1605(99)00035-5
  3. Baranyi, J. and Roberts, T. A. (1994) A dynamic approach to predicting bacterial growth in food. Int. J. Food Microbiol. 23, 277-294 https://doi.org/10.1016/0168-1605(94)90157-0
  4. Baranyi, J. and Roberts, T. A. (1995) Mathematics of predictive food microbiology. Int. J. Food Microbiol. 25, 61-75
  5. Chin, K. B. (2002) Manufacture and evaluation of low-fat meat products (A review). Korean J. Food Sci. Ani. Resour. 22, 363-372
  6. Chin, K. B., Kim, W. Y., and Kim, K. H. (2005) Physicochemical and textural properties and antimicrobical effects of low-fat comminuted sausages manufactured with grapefruit seed extract. Korean J. Food Sci. Ani. Resour. 25, 141-148
  7. Choi, S. H. and Chin, K. B. (2002) Development of low-fat comminuted sausage manufactured with various fat replacers similar textural characteristics to those with regular-fat counterpart. Korean J. Food Sci. Technol. 34, 577-582
  8. Choi, Y. S., Jeong, J. Y., Choi, J. H., Han, D. J., Kim, H. Y., Lee, M. A., Kim, H. W., Paik, H. -D. and Kim, C. J. (2008) Effects of dietary fiber from rice bran on the quality characteristics of emulsion-type sausage. Korean J. Food Sci. Ani. Resour. 28, 14-20 https://doi.org/10.5851/kosfa.2008.28.1.14
  9. Dalgaard. P. and Jorgensen, L. V. (1998) Predicted and observed growth of Listeria monocytogenes in seafood challenge tests and in naturally contaminated cold-smoked salmon. Int. J. Food Microbiol. 40, 105-115 https://doi.org/10.1016/S0168-1605(98)00019-1
  10. Dominguez, S. A. and Schaffner, D. W. (2007) Development and validation of a mathematical model to describe the growth of Pseudomonas spp. in raw poultry stored under aerobic conditions. Int. J. Food Microbiol. 120, 287-295 https://doi.org/10.1016/j.ijfoodmicro.2007.09.005
  11. Hathaway, S. and Roger, L. C. (1997) A regulatory perspective on the potential use of microbial risk assessment in international trade. Int. J. Food Microbiol. 36, 127-133 https://doi.org/10.1016/S0168-1605(97)01263-4
  12. Hwang, T, H. (2006) Improvement of shelf-life labeling system for effective food distribution management. MS thesis, Chungang Univ., Seoul, Korea
  13. James, M. J. (1972) Mechanism and detection of microbial spoilage in meat at low temperature. J. Food Technol. 35, 467-472
  14. Kim H. Y., Jeong, J. Y., Choi, J. H., Lee, M. A., Lee, J. H., Chang, K. H., Choi, S. Y., Paik, H.-D., and Kim, C. J. (2006) Effects of ethanol extracts of Bacillus polyfermenticus SCD on Tteokgalbi quality during storage. Korean J. Food Sci. Ani. Resour. 26, 478-485
  15. Kim, Y. S., Ha, T. Y., Lee, S. H., and Lee, H. Y. (1997) Effect of rice bran dietary fiber extract on gelatinization and retrogradation of wheat flour. Korean J. Food Sci. Technol. 29, 464-469
  16. Koo, M. S., Kim, Y. S., Shin, D. B., Oh, S. W., and Chun. H. S. (2007) Shelf-life of prepacked kimbab and sandwiches marketed in convenience stores at refrigerated condition. J. Fd. Hyg. Safety 22, 323-331
  17. Korean Food and Drug Administration. (2008) Korean Food Code available from http://www.kfda.go.kr .
  18. Korean Food Industrial Association. (1997) Food standards and criterions: meat product. Korean Food Code, Seoul. pp. 225-229
  19. Lee, H. J. and Shin, M. S. (2006) Quality characteristics of french bread with various dietary fibers. Korean J. Food Cookery Sci. 22, 477-487
  20. Lee, N. Y., Jo, C., Kang, H. J., Hong, S. P., Kim, Y. H., and Lee, K. H. (2005) Microbiological and mutagenical safety evaluation of gamma irradiated ready-to-eat foods of animal origin. Korean J. Food Sci. Ani. Resour. 25, 13-19
  21. Lee, H. M., Lee, G. Y., Yoon, E. Y., Kim, H. J., Kang, Y. S., Lee, D. H., Park, J. S., Lee, S. H., Woo, G. J., Kang, S. H., Yang, J. S., and Yang, K. H. (2004) Computation of maximum edible time using monitoring data of Staphylococcus aureus in Kimbap and Food MicroModel. J. Fd. Hyg. Safety 19, 49-54
  22. Mepba, H. D., Achinewhu, S. C., Aso, S. N., and Wachukwu, C. K. (2007) Microbiological quality of selected street foods in port harcourt, Nigeria. J. Food Safety 27, 208-218 https://doi.org/10.1111/j.1745-4565.2007.00073.x
  23. Moon, S. Y., Paek, J. M., and Shin, I. S. (2005) Develpoment of predictive growth model of imitation crab sticks putrefactive bacteria using mathematical quantitative assessment model. Korean J. Food Sci. Technol. 37, 1012-1017
  24. $MicroFit^{\circledC}$ (1995) Microfit Software for PC. Version 1.0. Institute of Food Research., Norwich, UK
  25. Newton, K. G. and Rigg, W. J. (1979) The effect of film permeability on the storage life and micriobiology of vacuumpacked meat. J. Appl. Bacteriol. 47, 433-445 https://doi.org/10.1111/j.1365-2672.1979.tb01204.x
  26. Nottingham, P. M. (1982) Microbiology of carcass meat. In Meat Microbiology. Brown, M. H. (ed), Applied Science Publishers Ltd., London, UK, pp. 13
  27. Park, H. O., Kim, C. M., Woo, G. J., Park, S. H., Lee, D. H., Chang, E. J., and Park, K. H. (2001) Monitoring and trends analysis of food poisoning outbreaks occurred in recent years in Korea. J. Fd. Hyg. Safety 16, 280-294
  28. Park, S. Y., Cho, J. W., Yeon, J. H., Lee, M. J., Lee, D. H., Kim, K. S., Park, K. H., and Ha, S. D. Assessment of contamination levels of foodborne pathogens isolated in major RTE foods marketed in convenience stores. Korean J. Food Sci. Technol. 37, 274-278
  29. Ross, T. (1996) Indices for performance evaluation of predictive models in food microbiology. J. Appl. Bacteriol. 81, 501-508
  30. SAS (1999) SAS/STAT Software. Release 8.1, SAS Institute Inc., Cary, NC, USA
  31. Skandamis, P. N. and Nychas, G. E. (2000) Development and evaluation of a model predicting the survival of Escherichia coli O157:H7 NCTT 12900 in homemade eggplant salad at various temperatures, pHs, and oregano essential oil concentrations. Appl. Environ. Microbiol. 66, 1646-1653 https://doi.org/10.1128/AEM.66.4.1646-1653.2000
  32. Solberg, M., Buchalew, J. J., Chen, C. M., Schaffner, D. W., O'Neill, K., McDowell, J., Post, L. S., and Boderck, M. (1990) Microbial safety assurance system for foodservice facilities. Food Technol. 44, 68-72
  33. Whiting, R. C. and Buchnan, R. L. (1997) Development of a quantitative model for Salmonella enteritidis in pasteurized liqiud egg. Int. J. Food Microbiol. 36, 111-125 https://doi.org/10.1016/S0168-1605(97)01262-2

Cited by

  1. Antioxidant Activity of Sansa (Crataegi fructus) and Its Application to the Pork Tteokgalbi vol.33, pp.4, 2013, https://doi.org/10.5851/kosfa.2013.33.4.531
  2. A Study of Establishment and Exploitation of Bio-markers for Determination of Shelf-life of Eggs and Egg Products vol.32, pp.3, 2012, https://doi.org/10.5851/kosfa.2012.32.3.354
  3. Comparison of Quality Characteristics Between Meat Ball Products in Korean Domestic Market vol.55, pp.5, 2013, https://doi.org/10.5187/JAST.2013.55.5.461
  4. Quality Characteristics of Frying Mix added with Brown Rice Fiber vol.27, pp.6, 2011, https://doi.org/10.9724/kfcs.2011.27.6.671
  5. Effects of Hemicellulase on White Bread Added with Brown Rice Fiber vol.45, pp.3, 2016, https://doi.org/10.3746/jkfn.2016.45.3.352
  6. Predicting and Extending the Shelf Life of Red Cabbage Sprouts vol.42, pp.9, 2013, https://doi.org/10.3746/jkfn.2013.42.9.1518
  7. 학교급식에서 제공되는 숙주나물의 Staphylococcus aureus 성장예측모델 개발 및 섭취유효기간 설정 vol.38, pp.11, 2008, https://doi.org/10.3746/jkfn.2009.38.11.1618
  8. 시중 유통판매 중인 편육에서의 Staphylococcus aureus 성장예측모델 개발 vol.32, pp.3, 2017, https://doi.org/10.13103/jfhs.2017.32.3.206
  9. Algae in food: a general review vol.59, pp.21, 2008, https://doi.org/10.1080/10408398.2018.1496319